Transplantation

Latest AI and machine learning research in transplantation for healthcare professionals.

9,638 articles
Stay Ahead - Weekly Transplantation research updates
Subscribe
Browse Specialties
Showing 64-84 of 9,638 articles
Noninvasive real-time monitoring of cellular spatiotemporal dynamics via machine learning-enhanced electrical impedance spectroscopy.

Monitoring cellular spatiotemporal dynamics is essential for understanding complex biological proces...

Innovative organ-on-a-chip platforms for exploring tumorigenesis and therapy in head and neck cancer.

BACKGROUND: Head and neck cancer (HNC) presents significant research challenges due to the complexit...

Potential diagnostic and therapeutic gene in chronic low back pain through pyroptosis modulation: A silico study based on the dataset analysis.

Chronic low back pain (cLBP ) is a common condition that affects the quality of life, can be caused ...

F-FDG PET-based liver segmentation using deep-learning.

Organ segmentation using F-FDG PET images alone has not been extensively explored. Segmentation base...

Artificial intelligence in educational technology and transformative approaches to English language using fuzzy framework with CRITIC-TOPSIS method.

Artificial intelligence (AI) is transforming educational technology by enabling personalized, adapti...

Machine learning improves post-transplantation hepatocellular carcinoma recurrence prediction.

BACKGROUND: To enhance post-transplantation hepatocellular carcinoma (HCC) recurrence prediction by ...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

Predictors of frontline doublet or triplet regimen initiation in transplant-ineligible newly diagnosed multiple myeloma.

AIMS: To identify predictors for initiation of frontline doublet versus triplet therapy for transpla...

Identification of diagnostic biomarkers and dissecting immune microenvironment with crosstalk genes in the POAG and COVID-19 nexus.

An underlying association between primary open-angle glaucoma (POAG) and COVID-19 has been hypothesi...

Machine learning-based risk prediction model for central nervous system involvement in diffuse large B-cell lymphoma.

Accurate prediction of CNS relapse in DLBCL remains challenging despite existing models like IPI and...

Liver Retransplantation: Identifying Factors and Developing a Risk Prediction Model to Predict Futility in the Modern Era.

BACKGROUND: Liver retransplantation (rLT) results have traditionally been inferior compared with tho...

Machine learning-assisted assessment of extracellular vesicles can monitor cellular rejection after heart transplant.

BACKGROUND: Heart transplant rejection, particularly acute cellular rejection (ACR), remains a criti...

Comprehensive multi-omics and machine learning framework for glioma subtyping and precision therapeutics.

Glioma is a highly heterogeneous and aggressive brain tumour that demands an integrated understandin...

In-silico CT simulations of deep learning generated heterogeneous phantoms.

Current virtual imaging phantoms primarily emphasize geometric accuracy of anatomical structures. Ho...

Single-cell spatial transcriptomics reveals immunotherapy-driven bone marrow niche remodeling in AML.

Given the graft-versus-leukemia effect observed with allogeneic hematopoietic stem cell transplantat...

Applying deep learning techniques to identify tonsilloliths in panoramic radiography.

Tonsilloliths can be seen on panoramic radiographs (PRs) as deposits located on the middle portion o...

Computation strategies and clinical applications in neoantigen discovery towards precision cancer immunotherapy.

Neoantigens, which are tumor-specific peptides generated by malignant cells, can be presented to T c...

Validation of the Toronto recurrence inference using machine-learning for post-transplant hepatocellular carcinoma model.

BACKGROUND: Organ shortages require prioritizing hepatocellular carcinoma (HCC) patients with the hi...

Browse Specialties